New Service-provider and Business-model Disruption in the IIoT
these functions are a more complex set of services such as data discovery, data brokering, protection of data-ownership rights and tools to track data- and resource-usage for charging purposes.
Figure 2: Common services for IIoT data-management and application enablement
Once data belonging to different IIoT application owners enter a common environment, there are new opportunities for application service providers to share data on commercial terms. This leads to another important feature of next generation IIoT platforms. This is the capability to support a data brokerage, which functions as an open marketplace for data and for data services, through a Data-as-a-Service( DaaS) business model.
2.3 Business, Operational and Technology Drivers of IIoT Solutions
Interoperability and horizontal platforms satisfy some of the practical aspects of IIoT solutions. However, enterprises do not make design and deployment decisions in isolation. This means that post-pilot IIoT solutions have to align with corporate priorities along business, operational and technology dimensions.
All but the simplest of IIoT applications will involve multiple sensor types and devices sourced from a broad supplier base. Some devices may conform to industry standards while others will include proprietary features. Almost certainly, IIoT applications will straddle legacy information technology( IT) and operational technology( OT) systems as well as new device and sensor deployments. Heterogeneous IIoT environments such as these favor open standards solutions.
As companies embrace IIoT strategies, they will manage multiple applications in one or more business units. Strategically, this favors technologies that are adaptable and re-usable. Adaptability matters in several respects. It means using a core set of technologies, design- and operational-management tools across multiple applications and business units. Adaptability,
- 30- June 2016